Skip to content

08-production-operations-and-governance.md

Latest commit

 

History

History
135 lines (102 loc) · 3.74 KB

08-production-operations-and-governance.md

File metadata and controls

135 lines (102 loc) · 3.74 KB
layout default
title Chapter 8: Production Operations and Governance
nav_order 8
parent Onlook Tutorial

Chapter 8: Production Operations and Governance

Welcome to Chapter 8: Production Operations and Governance. In this part of Onlook Tutorial: Visual-First AI Coding for Next.js and Tailwind, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.

This chapter provides a practical adoption model for using Onlook in production teams.

Learning Goals

  • define governance boundaries for AI-assisted visual editing
  • keep generated code quality high over time
  • align Onlook workflows with enterprise delivery controls
  • create a sustainable rollout roadmap

Governance Baseline

Area Recommended Baseline
repository control all generated changes through PR review
quality gates enforce lint/test/build before merge
branch strategy isolate large design experiments
security/compliance manage provider keys and secrets centrally
training publish prompt and visual-edit playbooks

Rollout Stages

  1. pilot with a single product team and clear metrics
  2. compare throughput/quality vs existing UI workflow
  3. standardize branch and review conventions
  4. expand gradually to additional teams and repositories

Source References

Summary

You now have a complete model for operationalizing Onlook in real product-engineering environments.

Compare semantic agent augmentation in the Serena Tutorial.

Source Code Walkthrough

docs/next.config.ts

The next.config module in docs/next.config.ts handles a key part of this chapter's functionality:

/**
 * Run `build` or `dev` with `SKIP_ENV_VALIDATION` to skip env validation. This is especially useful
 * for Docker builds.
 */
import { createMDX } from 'fumadocs-mdx/next';
import { NextConfig } from 'next';
import path from 'node:path';

const withMDX = createMDX();

const nextConfig: NextConfig = {
    reactStrictMode: true,
};

if (process.env.NODE_ENV === 'development') {
    nextConfig.outputFileTracingRoot = path.join(__dirname, '../../..');
}

export default withMDX(nextConfig);

This module is important because it defines how Onlook Tutorial: Visual-First AI Coding for Next.js and Tailwind implements the patterns covered in this chapter.

docs/tsconfig.json

The tsconfig module in docs/tsconfig.json handles a key part of this chapter's functionality:

{
  "compilerOptions": {
    "baseUrl": ".",
    "target": "ESNext",
    "lib": [
      "dom",
      "dom.iterable",
      "esnext"
    ],
    "allowJs": true,
    "skipLibCheck": true,
    "strict": true,
    "forceConsistentCasingInFileNames": true,
    "noEmit": true,
    "esModuleInterop": true,
    "module": "esnext",
    "moduleResolution": "bundler",
    "resolveJsonModule": true,
    "isolatedModules": true,
    "jsx": "react-jsx",
    "incremental": true,
    "paths": {
      "@/.source": [
        "./.source/index.ts"
      ],
      "@/*": [
        "./src/*"
      ]
    },
    "plugins": [
      {
        "name": "next"
      }
    ]
  },

This module is important because it defines how Onlook Tutorial: Visual-First AI Coding for Next.js and Tailwind implements the patterns covered in this chapter.

How These Components Connect

flowchart TD
    A[next.config]
    B[tsconfig]
    A --> B
Loading